ITOA News

By Poul Nielsen There is a shocking rise in the number of serious breaches of large companies- but with the number of tools now available for fighting these threats, a business disaster is not inevitable.
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By Kevin Conklin Anomaly detection works by identifying unusual behaviors in data generated by an application or service delivery environment. The technology uses machine learning predictive analytics to establish baselines in the data and automatically learn what normal behavior is.
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By Dennis Drogseth EMA has just completed a groundbreaking (the word is apt here) research project assessing just how IT organizations are seeking to invest in, optimize, integrate and prioritize use cases for what we call "Advanced Operations Analytics" or "AOA."
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By Poul Nielsen Today’s IT environments are more complicated – and confusing – than ever before, and it’s likely that events such as the explosion in the number of hybrid environments and the greater uptake of SaaS within enterprises mean that things are only going to get more complex before they simplify. This greater complexity will also mean that it will be much harder to detect and contain IT issues when they arise – after all, you can’t manage what you can’t measure.
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By Sasha Gilenson Continuing to manage highly complex IT environments in a reactive mode leaves IT specialists vulnerable, when really they need to understand the actual causes and effects of what’s happening among the many technologies in use across the enterprise. Instead of constantly fighting fires, IT operations teams should aim to prevent the fires from starting.
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By Diana Krieger
Companies need to adopt an integrated view and be able to go top-down and bottom-up; and that’s where the real challenge is: turning IT into a full partner to the success of the business.
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By Sasha Gilenson
With change requests and changes coming at a blinding pace, IT Operations teams need to use ITOA solutions to carry out a top down analysis blending and reviewing the diverse IT Operations data via changes as they occur, instead of reverse engineering a problem's root cause from low level machine events and metrics.
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By Sasha Gilenson Data can provide insight into areas of concern for poor performance, availability and security threats, as well as areas of focus for potential improvement. However, there is far more data, and too many dimensions, for IT Operations to negotiate through manually. How can this IT "big data" be mined using IT Operations Analytics tools to identify and avoid problems?
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By Dan Kusnetzky Applies a new IT operations analytics approach to change and configuration challenges. The goal is to turn dynamic, overwhelming change and configuration data into actionable insights. The company states that using its solution allows IT operation managers to know exactly what has changed in their environments, investigate incident root-cause, maintain environment consistency, validate changes, and eliminate configuration drift.
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by Ray Solnik
IT Operations Analytics (ITOA, what some people call Big Data analytics or Advanced Analytics) has been dubbed the solution to bring order to this rapidly growing complexity. Some are asking “What does this term really mean, what’s the big deal?"
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